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1、Chapter 1 - Key Terms Collection, summarization, analysis, and reporting of numerical findings Statistics - Two Usages A. The study of statistics B. Statistics as reported sample measures 1. Descriptive 2. Inferential 2002 The Wadsworth Group第1页/共15页Chapter 1 - Key TermsInferential Statistics POPULA

2、TION SAMPLE How Taken Census Selected Subset Measure Parameter Statistic 2002 The Wadsworth Group 第2页/共15页Types of Variables Qualitative Variables Attributes, categories Examples: male/female, registered to vote/not, ethnicity, eye color. Quantitative Variables Discrete - usually take on integer val

3、ues but can take on fractions when variable allows - counts, how many Continuous - can take on any value at any point along an interval - measurements, how much 2002 The Wadsworth Group第3页/共15页Example: Types of VariablesProblem 1.16 For each of the following, indicate whether the appropriate variabl

4、e would be qualitative or quantitative. If the variable is quantitative, indicate whether it would be discrete or continuous. 2002 The Wadsworth Group第4页/共15页Problem 1.16 a) Whether you own an RCA Colortrak television set b) Your status as a full-time or a part-time student c) Number of people who a

5、ttended your schools graduation last year Qualitative Variable two levels: yes/no no measurement Qualitative Variable two levels: full/part no measurement Quantitative, Discrete Variable a countable number only whole numbers 2002 The Wadsworth Group第5页/共15页Problem 1.16, continued d) The price of you

6、r most recent haircut e) Sams travel time from his dorm to the Student Union Quantitative, Discrete Variable a countable number only whole numbers Quantitative, Continuous Variable any number time is measured can take on any value greater than zero 2002 The Wadsworth Group第6页/共15页Problem 1.16, conti

7、nued f) The number of students on campus who belong to a social fraternity or sorority Quantitative, Discrete Variable a countable number only whole numbers 2002 The Wadsworth Group第7页/共15页Scales of Measurement Nominal Scale - Labels represent various levels of a categorical variable. Ordinal Scale

8、- Labels represent an order that indicates either preference or ranking. Interval Scale - Numerical labels indicate order and distance between elements. There is no absolute zero and multiples of measures are not meaningful. Ratio Scale - Numerical labels indicate order and distance between elements

9、. There is an absolute zero and multiples of measures are meaningful. 2002 The Wadsworth Group第8页/共15页Example: Scales of MeasurementProblem 1.20 Bill scored 1200 on the Scholastic Aptitude Test and entered college as a physics major. As a freshman, he changed to business because he thought it was mo

10、re interesting. Because he made the deans list last semester, his parents gave him $30 to buy a new Casio calculator. Identify at least one piece of information in the: 2002 The Wadsworth Group第9页/共15页Problem 1.20, continued a) nominal scale of measurement. 1. Bill is going to college.2. Bill will b

11、uy a Casio calculator.3. Bill was a physics major.4. Bill is a business major.5. Bill was on the deans list. 2002 The Wadsworth Group第10页/共15页Problem 1.20, continued b) ordinal scale of measurement c) interval scale of measurement d) ratio scale of measurement Bill is a freshman. Bill earned a 1200

12、on the SAT. Bills parents gave him $30. 2002 The Wadsworth Group第11页/共15页Types of Variables Qualitative Variables Attributes, categories Examples: male/female, registered to vote/not, ethnicity, eye color. Quantitative Variables Discrete - usually take on integer values but can take on fractions whe

13、n variable allows - counts, how many Continuous - can take on any value at any point along an interval - measurements, how much 2002 The Wadsworth Group第12页/共15页Example: Types of VariablesProblem 1.16 For each of the following, indicate whether the appropriate variable would be qualitative or quantitative. If the variable is quantitative, indicate whether it would be discrete or continuous. 2002 The Wadsworth Group第13页/共15页Problem 1.16,

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